Most companies run enterprise systems that utilize RDBMS to manage data in tables, rows and columns.  However there are also ‘unstructured’ content that would not fit in the RDBMS model.  Examples of these would be a Tweet or Facebook posting from the marketing department, an internal or external training it video or a presentation posted on a partner’s web site. Another example could be through the company’s website and clinical trial technology pages.   New technology is needed to manage such examples of unstructured information.

unstructured data pictures

There is more work to be done to address the gaps of unstructured content management.  These include maintenance of data quality (how clean/accurate is the unstructured data), data categorization (how to make the most sense of your unstructured data), data harmonization (how to best merge the unstructured data into your structured data architecture), and data volume (how to store it all).

All industries, whether life-science, health-care, communication, finance, social media, and retail are grappling with managing and making the most sense of the vast amount of raw information (a.k.a.: data lakes).  Given the direction that the web is heading towards, the amount of information will only increase exponentially despite the challenges of unstructured data; industries are left with no choice but to determine the best way forward to manage it.  In order to achieve progress with information, industry leaders need to adopt new innovative technologies and clinical trial technology.

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